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The overlap between binge eating behaviors and Polycystic Ovarian Syndrome: an etiological integrative model

Paganini, C, Peterson, G ORCID: 0000-0002-6764-3882, Stavropoulos, V and Krug, I 2018 , 'The overlap between binge eating behaviors and Polycystic Ovarian Syndrome: an etiological integrative model' , Current pharmaceutical design, vol. 24 , pp. 1-8 , doi: 10.2174/1381612824666171204151209.

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Studies indicate that Polycystic Ovarian Syndrome (PCOS) features (e.g. insulin instability, food cravings,overproduction of androgens and menstrual irregularities) are associated with increased appetite, impairedimpulse control and feelings of body dissatisfaction. Counter intuitively, binge eating behaviors have been shownto reinforce PCOS symptomatology, precipitating concurrently body dissatisfaction, weight gain, insulin instabilityand overproduction of androgens. The present systematic literature review aspires to investigate the relationshipbetween binge eating, in the broader context of eating disorder behaviors, and Polycystic Ovarian Syndrome(PCOS), taking into account shared characteristics between EDs (Eating Disorders) and PCOS. To address thisaim, the PRISMA guidelines are adopted. A total of 21 studies, which investigated the presence of binge eating inPCOS population and the presence of PCOS in EDs population, were synthesized. Findings suggested that anincreased prevalence of binge eating has been reported in women with Polycystic Ovarian Syndrome (PCOS);and that women suffering from BN (Bulimia Nervosa) and BED (Binge Eating Disorder) are more likely to displaypolycystic ovaries. Further research on their shared liability is required in order to inform more efficientprevention and treatment initiatives for populations presenting with comorbid features.

Item Type: Article
Authors/Creators:Paganini, C and Peterson, G and Stavropoulos, V and Krug, I
Keywords: Eating disorders polycystic ovarian syndrome
Journal or Publication Title: Current pharmaceutical design
Publisher: Bentham Science Publ Ltd
ISSN: 1381-6128
DOI / ID Number: 10.2174/1381612824666171204151209
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Copyright 2018 Bentham Science Publishers

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